{"id":"W4409800695","doi":"10.4267/pollution-atmospherique.6767","title":"Synergie entre la pollution anthropique et biologique et impacts sur la santé respiratoire au Québec durant le printemps","year":2019,"lang":"fr","type":"article","venue":"Pollution atmosphérique","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Forestry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007737992,0.0003410174,0.0003443629,0.0006013062,0.0008087253,0.001233127,0.0003700534,0.0003957613,0.004114732],"category_scores_gemma":[0.0008291269,0.0002168697,0.0005533393,0.0007160697,0.0004482664,0.0003145561,0.0004988327,0.0003343726,0.0002350623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008104943,"about_ca_system_score_gemma":0.009655989,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8640813,"about_ca_topic_score_gemma":0.9441909,"domain_scores_codex":[0.9991303,0.000154747,0.00002393473,0.0001826654,0.0003186434,0.0001897774],"domain_scores_gemma":[0.9986816,0.0002889789,0.0002114658,0.00006524165,0.0005868524,0.0001659328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006039842,0.0001187845,0.914028,0.0002984677,0.0008153496,0.0003228563,0.001039656,0.002725071,0.04598987,0.0006766149,0.0009293603,0.03245195],"study_design_scores_gemma":[0.000003033608,0.00008835193,0.9958405,0.00001445372,0.00007801271,0.0000228607,0.0002813751,0.0003614947,0.001321422,0.0000349133,0.001947614,0.000005928956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884002,0.001555301,0.001403199,0.0007053951,0.00001718743,0.00006292565,0.001303924,0.00003556994,0.006516209],"genre_scores_gemma":[0.9899766,0.0006883233,0.000730092,0.000150635,0.000009162629,0.00003763408,0.0005304728,0.000006099355,0.007870989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1359187,"threshold_uncertainty_score":0.2734382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01514149781482941,"score_gpt":0.3058430859146485,"score_spread":0.2907015880998191,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}